






from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


SCREAMING_SNAKE_CASE							=    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							=    {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

SCREAMING_SNAKE_CASE							=    {
    'vocab_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'
    },
    'merges_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'
    },
}

SCREAMING_SNAKE_CASE							=    {'allegro/herbert-base-cased': 514}
SCREAMING_SNAKE_CASE							=    {}
class 				A_     (    SCREAMING_SNAKE_CASE_      ):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE				:      List[str]			=       VOCAB_FILES_NAMES
 _SCREAMING_SNAKE_CASE				:      Tuple			=       PRETRAINED_VOCAB_FILES_MAP
 _SCREAMING_SNAKE_CASE				:      List[str]			=       PRETRAINED_INIT_CONFIGURATION
 _SCREAMING_SNAKE_CASE				:      str			=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _SCREAMING_SNAKE_CASE				:      Tuple			=       HerbertTokenizer


 def __init__(						self				,	_A=None				,	_A=None				,	_A=None				,	_A="<s>"				,	_A="<unk>"				,	_A="<pad>"				,	_A="<mask>"				,	_A="</s>"				,	**_A				,	)			->		Dict:

     """simple docstring"""



     super().__init__(
         snake_case__				,	snake_case__				,	tokenizer_file=snake_case__				,	cls_token=snake_case__				,	unk_token=snake_case__				,	pad_token=snake_case__				,	mask_token=snake_case__				,	sep_token=snake_case__				,	**snake_case__				,	)


 def 			snake_case__					(						self				,	_A				,	_A = None)			->		List[int]:

     """simple docstring"""



     _UpperCAmelCase					:   Union[str, Any]      	=					[self.cls_token_id]
     _UpperCAmelCase					:   Tuple      	=					[self.sep_token_id]
     if token_ids_a is None:
         return cls + token_ids_a + sep

     return cls + token_ids_a + sep + token_ids_a + sep


 def 			snake_case__					(						self				,	_A				,	_A = None				,	_A = False)			->		List[int]:

     """simple docstring"""



     if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=snake_case__				,	token_ids_a=snake_case__				,	already_has_special_tokens=snake_case__)

     if token_ids_a is None:
         return [1] + ([0] * len(snake_case__)) + [1]
     return [1] + ([0] * len(snake_case__)) + [1] + ([0] * len(snake_case__)) + [1]


 def 			snake_case__					(						self				,	_A				,	_A = None)			->		List[int]:

     """simple docstring"""



     _UpperCAmelCase					:   Tuple      	=					[self.sep_token_id]
     _UpperCAmelCase					:   List[str]      	=					[self.cls_token_id]

     if token_ids_a is None:
         return len(cls + token_ids_a + sep) * [0]
     return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]


 def 			snake_case__					(						self				,	_A				,	_A = None)			->		Tuple[str]:

     """simple docstring"""



     _UpperCAmelCase					:   int      	=					self._tokenizer.model.save(snake_case__				,	name=snake_case__)
     return tuple(snake_case__)





def 	lowerCamelCase					(	UpperCamelCase     :				int			,       UpperCamelCase     :				int							)   ->    float:
		return base * power(UpperCamelCase			,       (exponent - 1)							) if exponent else 1


if __name__ == "__main__":
				print('Raise base to the power of exponent using recursion...')
				A						=			int(input('Enter the base: ').strip())
				A						=			int(input('Enter the exponent: ').strip())
				A						=			power(base, abs(exponent))
				if exponent < 0:  # power() does not properly deal w/ negative exponents
								A						=			1 / result
				print(F'''{base} to the power of {exponent} is {result}''')